CN110249348A - The configuration and parametrization of energy management system - Google Patents
The configuration and parametrization of energy management system Download PDFInfo
- Publication number
- CN110249348A CN110249348A CN201780077551.XA CN201780077551A CN110249348A CN 110249348 A CN110249348 A CN 110249348A CN 201780077551 A CN201780077551 A CN 201780077551A CN 110249348 A CN110249348 A CN 110249348A
- Authority
- CN
- China
- Prior art keywords
- component
- configuration
- processing unit
- parameterized information
- digital twins
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 claims abstract description 64
- 238000000034 method Methods 0.000 claims abstract description 56
- 230000006870 function Effects 0.000 claims description 22
- 238000012360 testing method Methods 0.000 claims description 11
- 238000010586 diagram Methods 0.000 claims description 9
- 238000010248 power generation Methods 0.000 claims description 7
- 230000003862 health status Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 15
- 238000004891 communication Methods 0.000 description 10
- 230000000694 effects Effects 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 239000006185 dispersion Substances 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000004851 dishwashing Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000010355 oscillation Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 241001465382 Physalis alkekengi Species 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 235000008429 bread Nutrition 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013016 damping Methods 0.000 description 1
- 239000002283 diesel fuel Substances 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 210000003811 finger Anatomy 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 210000003127 knee Anatomy 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 239000003380 propellant Substances 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 210000003813 thumb Anatomy 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B9/00—Safety arrangements
- G05B9/02—Safety arrangements electric
- G05B9/03—Safety arrangements electric with multiple-channel loop, i.e. redundant control systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/22—Pc multi processor system
- G05B2219/2239—Reallocate, reschedule execution of controlled functions if one processor fails
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24182—Redundancy
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24187—Redundant processors run identical programs
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2639—Energy management, use maximum of cheap power, keep peak load low
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/10—The dispersed energy generation being of fossil origin, e.g. diesel generators
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/30—State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Power Engineering (AREA)
- Entrepreneurship & Innovation (AREA)
- Automation & Control Theory (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
Disclose the example of the technology for configuring and parameterizing energy management system.In an example embodiment according to all aspects of this disclosure, a method of computer implementation includes that multiple digital twins are received by processing unit.The digital twins of each of multiple number twins are associated with a component of multiple components.This method further includes being based at least partially on multiple digital twins, and the configuration and parameterized information of each component in multiple components are calculated by processing unit.This method further includes that will configure all parts being sent in multiple components with parameterized information by processing unit, so that multiple components can be realized configuration and parameterized information.
Description
Technical field
The disclosure relates generally to energy management system, and relates more specifically to the configuration and parameter of energy management system
Change.
Background technique
Electric system provides electronic component network, to generate electric power from generator and electricity is transmitted and supplied to power consumption person
Power.Electric system may include for generate the generator of electric power, for across remote transmission electric power Transmission system and
By electric power distribution to the distribution system of power consumption person.Power grid is an example of electric system.Energy hole system can be implemented
It unites to manage and control the various electronic components of electric system.
Summary of the invention
According to the example of the disclosure, provide including for configuring and parameterizing energy management system method, system and/
Or the technology of computer program product.Computer implemented method for configuring and parameterizing energy management system include by
It manages device and receives multiple digital twins.The component of each of multiple number twins digital twins and multiple components
It is associated.This method further includes being based at least partially on multiple digital twins, is calculated by processing unit every in multiple components
The configuration and parameterized information of a component.This method further includes that will be configured to be sent to multiple portions with parameterized information by processing unit
All parts in part, so that multiple components can be realized configuration and parameterized information.
A kind of system for configuring and parameterizing energy management system, including the memory with computer-readable instruction
With the processing unit for executing computer-readable instruction, computer-readable instruction is for executing a kind of method.This method includes
Multiple digital twins are received by processing unit.One of the digital twins of multiple number each of twins and multiple components
Component is associated.This method further includes being based at least partially on multiple digital twins, is calculated in multiple components by processing unit
Each component configuration and parameterized information.This method further include by processing unit will configure and parameterized information be sent to it is more
All parts in a component, so that multiple components can be realized configuration and parameterized information.
Computer program product for configuring and parameterizing energy management system includes computer readable storage medium, should
Computer readable storage medium has the program instruction implemented using it, which can be executed by virtual reality processing system
So that processing unit executes a kind of method.This method includes that multiple digital twins are received by processing unit.Multiple double born of the same parents of number
Each of tire number twins are associated with a component of multiple components.This method further include be based at least partially on it is multiple
Digital twins are calculated the configuration and parameterized information of each component in multiple components by processing unit.This method further includes
It will be configured by processing unit and parameterized information be sent to all parts in multiple components, so that multiple components can be realized and match
It sets and parameterized information.
Another method for configuring and parameterizing energy management system includes that multiple numbers pair are received by processing unit
Born of the same parents' tire, the digital twins of each of plurality of number twins are associated with the component in multiple components.This method is also wrapped
Include by processing unit be based at least partially on multiple digital twins calculate in two-level controller and three class control device extremely
The configuration and parameterized information of few one.This method further includes that will be configured to be sent to second level control with parameterized information by processing unit
At least one of device and three class control device processed, so that at least one of two-level controller and three class control device can be realized and match
It sets and parameterized information.
Additional feature and advantage are realized by the technology of the disclosure.Other aspect herein detailed description and by
It is considered a part of this disclosure.In order to better understand the advantages of the disclosure and feature, with reference to the following description and drawings.
Detailed description of the invention
It particularly points out and is distinctly claimed in the claim in specification conclusion and be considered as subject of the present invention.
According to the detailed description below in conjunction with attached drawing, above-mentioned and other features and its advantage is that it will be apparent that wherein:
Figure 1A shows the block diagram of the energy management system according to disclosure one aspect;
Figure 1B shows the energy of Figure 1A with energy management system configuration and parameterized module according to various aspects of the present disclosure
The block diagram of amount control system;
Fig. 1 C shows the energy of Figure 1A with energy management system configuration and parameterized module according to various aspects of the present disclosure
The block diagram of amount control system;
Fig. 2 shows the flow charts of the method according to various aspects of the present disclosure for configuring and parameterizing energy management system;
And
Fig. 3 shows the exemplary processing system for realizing technique described herein according to the disclosure.
Specific embodiment
The engineering of electric system and debugging may be time-consuming manual task comprising it is various to manage and control electric system
The configuration and parametrization of the energy management system of electronic component.This technology by provide energy management system automatic self-configuring and
Autoregressive parameter solves the problems, such as this.
Particularly, this technology uses " the digital twins " received from each component, for multiple in electric system
Each component in component calculates configuration and parameterized information.Digital twins are that the number of physical asset, process and system is multiple
Product or expression.For example, digital twins may include the controller architecture of the element of the component for electric system and adjustable
Parameter.Digital twins can also include cost function and to certain elements (for example, battery capacity), load is curved and component
The constraint of health status.
In this way, component serves as Internet of Things (IoT) object.Term Internet of Things object refers to addressable interface
Any object of (for example, the address Internet protocol (IP), bluetooth identifier (ID), near-field communication (NFC) ID etc.) is (for example, portion
Part, equipment, sensor etc.) and other one or more objects can be will send information to by wired or wireless connection.IoT
Object can have passive communication interface, quick response (QR) code, radio frequency identification (RFID) label, NFC label etc., or
Person's active communication interface, modem, transceiver, transmitter-receiver etc..IoT object can have one group it is specific
Attribute (for example, one or more states of device, such as IoT object be on or off, open or close, it is idle or
Activity can be used for task execution or busy etc., cost function, environmental monitoring or writing function, light-emitting function, the hair of power generation
Sound function etc.), can by the insertions such as central processing unit (CPU), microprocessor, ASIC and/or control/monitoring, and by
It is configured for attachment to such as IoT network of local ad-hoc network or internet.For example, IoT object may include but be not limited to
Refrigerator, bread baker, oven, micro-wave oven, refrigerator-freezer, dish-washing machine, hand-operated tools, washing machine, dryer, stove, heating, ventilation,
Air-conditioning and refrigeration (HVACR) system, air-conditioning, thermostat, burner and boiler implosion, generator, building management control, TV,
Lamps and lanterns, dust catcher, water sprinkler, ammeter, gas meter etc., as long as these devices are equipped with addressable for carrying out with IoT network
The communication interface of communication.IoT object can also include mobile phone, desktop computer, laptop computer, tablet computer, individual
Digital assistants (PDA) etc..Therefore, other than not having the device (for example, dish-washing machine etc.) of internet connection usually, IoT net
Network can also include the combination of " tradition " internet accessible devices (for example, on knee or desktop computer, mobile phone etc.).
Digital twins are transferred to energy management system configuration and parametrization (ECSCP) module by communication network.Energy
Amount control system provides control (including rudimentary control, primary control, Two-stage control and/or three in each rank of electric system
Grade control).ECSCP module collects digital twins from the component in electric system and combines them so as to entirely or partly
Configuration and parametrization energy management system (for example, some components of energy hole can be preconfigured, and other component by
ECSCP module configuration).For example, ECSCP module configures and parameterizes three using the cost function of component and component-dedicated constraint
The model predictive controller (MPC) of grade controller.ECSCP module is sent calculated configuration and parameter to using communication network
Each controller and component.Configuration received by different controller applications and parameterized information, to control electric system
Interior one or more associated components.
Present technology provides several benefits.For example, reducing the engineering and debugging of electric system and its energy management system
Cost.When powering off in electric system (due to failure, weather events, the earthquake etc. in electric system), this technology is provided
Energy management system reconfigures and Reparameterization online.
The example embodiment of the disclosure includes or generates various technical characteristics, technical effect and/or technological improvement.The disclosure
Example embodiment provide a kind of energy management system, be configured as based on the digital twins received from component, lead to
Calculating configuration and parameterized information are crossed, to control electric system and its component.Calculated configuration and parameterized information are sent
To component (for example, being sent to controller associated with component) so that the component can be realized configuration and parameterized information with
Control the component.These aspects of the disclosure constitute technical characteristic, and the digital twins based on each component pass through realization pair
The collection of component in electric system neutralizes decentralised control, generates the technical effect for improving electric system and energy management system.Make
It is these technical characteristics and technical effect as a result, energy management system according to an example embodiment of the present disclosure is represented to existing
There is the improvement of control technique in power system.It should be appreciated that technical characteristic, technical effect and the technology of the example embodiment of the disclosure
Improved above-mentioned example is only illustrative and non exhaustive.As described herein, these and other benefits will be as described herein
It is obvious.
Figure 1A shows the block diagram of energy management system 100 according to one aspect of the disclosure.Although Figure 1A shows pure electricity
Energy system, but this technology also can be applied to multi-modal energy system (that is, including electric energy, thermal energy, chemical energy and/or machinery
The energy system that can and its convert).
Energy management system 100 enable control over electric system (for example, power grid 150 and various load 152a, 152b,
152c, 152d, 152e (being referred to as " load 152 ")) component 110a, 110b, 110c, 110d, 110e (be referred to as " component
110").Component 110 generates electric power and (is indicated power transmission) by load 152 to terminal user by power grid 150.
Component 110 include electrical hardware, such as diesel-driven generator 114a, photovoltaic generator 114b, wind-driven generator 114c,
Battery memory 114d, controllable burden 114e (being referred to as " electrical generating hardware 114 ").Other kinds of electrical generating hardware may be implemented
114, gas turbine, coal-fired power plant, nuclear power station, hydraulic power plant etc..
According to all aspects of this disclosure, energy management system 100 include four control hierarchies: rudimentary control, primary control,
Two-stage control and three class control.Particularly, electrical generating hardware 114 can be controlled from various controllers, controller includes: rudimentary control
Device 112a, 112b, 112c, 112d, 112e (are referred to as " low level controller 112 ");Docket No 120a, 120b, 120c,
120d, 120e (are referred to as " Docket No 120 ");Two-level controller 130 and three class control device 140.Although Figure 1A is shown
The second level and three class control rank of concentration and the primary of dispersion and rudimentary control hierarchy, but other configurations are also possible
(for example, control hierarchy can combine, control hierarchy is segmented into multiple control hierarchies etc.).Therefore, example shown in the accompanying drawings
Property embodiment help to understand the disclosure, but be not limiting, because within the scope of this disclosure it is expected that having additional
, it is less or substitution component other configurations.Each control hierarchy is briefly described below.
Low level controller 112 provides the local of the dispersion to each individual electrical generating hardware 114 and controls, so that electrical generating hardware
114 output voltage meets certain conditions (for example, 110V etc. under 60Hz).For example, low level controller 112a controls diesel generation
Machine 114a, low level controller 112b control photovoltaic generator 114b, etc..Reacted since this needs is very quick (for example,
The variation range of power grid 150, short circuit etc. in millisecond range), which is usually located at the controller hardware of each component 110
It is interior.
Docket No 120 also provides the local control of the dispersion to component 110, and for realizing all parts 110 it
Between fast power balance.In classics exchange (AC) power grid, this can be by frequency active power droop control device (under f-P-
Hang down controller) and voltage and reactive power droop control device (Q-U- droop control device) Lai Shixian.In direct current (DC) power grid, this can
To pass through voltage active power droop control device (U-P- droop control device) Lai Shixian.Docket No 120 usually with 100ms and
Sampling rate operation between 1s, and voltage and/or power set point are provided to low level controller 112.With low level controller 112
Similar, Docket No 120 is usually realized in the controller hardware of each component 110.
When controlling multiple components 110, two-level controller 130 is centralized controller.Two-level controller 130 is each portion
Part 110 coordinates each Docket No 120.For example, two-level controller 130 can be integral controller, to realize that power grid 150 is steady
Qualitative zero steady frequency offset.For example, two-level controller 130 is with more seconds to a few minutes sample rates to Docket No 120
Set point is provided.It can also realize different centralization and distributing two-level controller.
Three class control device 140 provides another form of centralized control.For example, three class control device 140 can be used for for example
15 minutes sample rates carry out economically optimal scheduling to generator.It is similar with two-level controller 130, it may be implemented for three
The different centralizations and decentralized method of grade control.For example, in actual island power grid, three class control device 140 can be
It is realized in centralized Energy Management System.In large-scale energy resource system, three class control device is for example replaced by energy market.
Existing energy management system manual configuration and parametrization during engineering and debugging.Low level controller 112 is by hand
Dynamic configuration and parametrization.In simpler application, they are used during debugging according to the standard testing executed to practical factory
Example is configured and is parameterized.In more complicated cases, low level controller 112 is configured and parameterizes in analog study.
More complicated situation includes for example with high renewable power generation and/or the electric system of Power electronic converter.In each case
Under, this manual configuration and parametrization are all costly and time-consuming.Analysis shows this method is in future in large scale network
It is infeasible for being introduced into the electric system of high renewable energy power generation, because the dynamic fluctuation of electric system depends on such as day
Gas.
Docket No 120 is configured and is parameterized based on thumb principle and/or experience usually during debugging.As long as
Electric system very little, this is sufficient, but becomes difficult to manage for biggish electric system.Join again during debugging
Numberization Two-stage control.Relevant parameter may include gain and the sample rate of such as integral controller to reduce frequency shift (FS).
Three class control device for island power systems can be based on model predictive controller (MPC).MPC combines each portion
The cost function of part 110 and the part of electric system and global restriction are (for example, battery charging state or N-1 stability are about
Beam).Resulting optimization problem is resolved in the range of reduction, with the power generation that cost of implementation is minimum.However, MPC is needed
Will constraint based on cost function and from all parts and global restriction come manual configuration and parametrization.Due to this method
Mainly manually, therefore it is costly and time consuming.In addition, this method is not flexible and is not easy to adapt to, for example, if introducing new
Component (or component of new type) if removes component.
Figure 1B and 1C, which is shown, has energy management system configuration and parametrization (ECSCP) according to all aspects of this disclosure
The block diagram of the energy management system 100 of Figure 1A of module 160.Particularly, Figure 1B, which is shown, is sent to ECSCP mould by component 110
The digital twins (dotted line) of block 160, and Fig. 1 C shows and is sent to component 110, two-level controller 130 by ECSCP module 160
With the parameter (dotted line) of three class control device 140.
About Figure 1A -1C description various controllers and module (for example, ECSCP module 160, low level controller 112, just
Grade controller 120, two-level controller 130 and/or three class control device 140) it can be implemented as being stored in computer-readable storage medium
Instruction in matter, is embodied as hardware module, is embodied as specific use hardware (for example, being embodied as application specific hardware, application specific
Integrated circuit (ASIC), embedded controller, hard-wired circuit etc.), or it is embodied as these some combinations or multiple combinations.
In this example, engine described herein can be the combination of hardware and programming.Programming can be to be stored in tangible memory
Processor-executable instruction, and hardware may include the processing unit for executing those instructions.Therefore, system storage can
To store program instruction, which realizes controller described herein and module when being executed by processing unit.Other controls
Device processed and/or module can also be used for including other feature and function described in other examples of this paper.
Alternatively or in addition, energy management system 100 may include dedicated hardware, such as one or more integrated electricity
Road, application specific integrated circuit (ASIC), application specific special processor (ASSP), field programmable gate array (FPGA) or on
The exemplary any combination for stating specialized hardware, is used to execute technique described herein.
With reference to Figure 1B, each component 110 includes digital twins' (that is, digital representation of component).It is wrapped in digital twins
The data instance contained may include following item: the block diagram of the control structure and adjustable parameter that indicate component is (for example, based on for function
The IEEE reference model of rate converter, diesel-driven generator, gas turbine etc.);The cost function of power generation;Component-dedicated constrains (example
Such as, the capacity (for example, battery 114d) of battery);The typical case of load (for example, load 152) is curved;And/or the healthy shape of component
Condition.
Their own digital twins are sent out using communication network (being represented by the dotted line) comprising the twinborn component of number
It is sent to ECSCP module 160.ECSCP module 160 is a part of centralized Energy Management System, the centralization energy management system
System is also comprising second level and three class control function (that is, the three class control device of the two-level controller 130 of Two-stage control and three class control
140).In some instances, if second level and three class control are distributed (for example, in energy market), ESCPS module
Or it is distributed.
ECSCP module 160 is collected digital twins from component 110 and is combined them to calculate entire energy hole system
The configuration and parameterized information of system.For example, ECSCP module 160 using component 110 cost function and/or component 110 it is dedicated
It constrains to configure and parameterize the MPC problem of three class control device 140.In addition, ECSCP module 160 can use other technologies
Parameterize Docket No 120 and/or low level controller 112.
According to the example of the disclosure, ECSCP module 160 can calculate configuration and parameterized information to realize that oscillation of power hinders
Buddhist nun and/or energy management.When disconnecting members (for example, generator, power line, transformer etc.) from electric system, function occurs
Rate oscillation damping.In this case, in order to calculate configuration and parameterized information, ECSCP module 160 can be by by each portion
The dynamic model (the digital twins obtained from each component) of part interconnects, and the dynamic of electric system is exported by power flow equation
Model (for example, realized during debugging), equivalent model is exported for disconnecting members, linearizes equivalent model, is occurring to break
Meet electric system constraint when opening, and determines the optimal parameter of controller to realize optimization aim.
Energy management can be realized by properly configuring and parameterizing three class control device 140.In this case, often
A component 110 is provided as the twinborn cost function of number, which depict it can be supplied with what cost to power grid 150 it is more
Few electric power.For example, cost function depends on fuel cost for diesel-driven generator.Also added in addition, component 110 can have
Be added to the twinborn constraint of number, for example, battery capacity or diesel-driven generator propellant capacity.It is double in conjunction with these numbers
Born of the same parents' tire, three class control device 140 configuration and parameter of the ECSCP 160 by the summation with all cost functions turn to totle drilling cost letter
Number, and constraint configuration by all generators and parameter turn to constraint.
After the calculating for configuring and parameterizing, ECSCP module 160 can execute simulation test, to verify whether to meet
Preassigned constraint.In general, calculating configuration and parameterized information using the twinborn simplification of combination number or reduction version
(for example, combining digital twins is nonlinear differential equation, and linearizing version using it to calculate configuration and parametrization).
In order to verify configuration and parametrization, the configuration and parameterized information are applied to primary nonlinear differential equation numerical twins.
Then, it is held for one group of typical case's test cases (for example, loss and/or the loss of power line etc. of load variations, generator unit)
The row Nonlinear differential eguations close the twinborn simulation of number.In some instances, difference generation can be realized during operation
The Fast simulation of number system.Then configuration is verified using analog result and parameterized information actually reaches required performance.
Once calculating configuration and parameter information, ECSCP module 160 will just be configured and parameter information is sent to each of component
A controller (for example, Docket No 120 and/or low level controller 112), as shown in the dotted line in Fig. 1 C.Configuration and parameter
Information can also be sent to two-level controller 130, to realize voltage and frequency (U/f) control for coordinating grid stability
Scheme and/or be sent to three class control device 140, with realize reduce cost Optimum cost power dispatching scheme (for example,
Best Times are using component 110 to experience cost savings).
During debugging, additional calibration test can be used and obtain the additional data for being not easy to obtain (for example, sending out in diesel oil
In the case where motor, after a series of load steps measure diesel-driven generator dynamic behaviour with based on these measurement determination/
Identify (part) digital twins;Alternatively, in the case where battery system, by specific voltage and or current curve application
In electric system, to identify the transformer that the output of battery system is connected to medium voltage network).This is for no digital twins
The component 110 of (for example, transformer or uncontrolled load) is particularly useful.In such a case, it is possible to raw during debugging
At digital twins.For example, ECSCP module 160 can also include user interface, which guides operator (for example, adjusting
Try engineer) complete calibration test.
According to all aspects of this disclosure, ECSCP module 160 be may include for verifying the twinborn additional identification mould of number
Block.For example, ECSCP module 160 can be automatic to execute or suggest fc-specific test FC during the debugging of pending all parts 110
Sequence.ECSCP module 160 can also include parameter identification module, based on the measurement carried out during digital twins verifying
To identify and/or correct the twinborn loss of number and/or wrong parameter.In another example, ECSCP module 160 can be
Line (that is, during operation) executes these validation tests.For example, this can be based on the phase measurement cells in Transmission system
(PMU) Lai Shixian.
In some instances, it may be necessary to high resiliency energy system.In this case, ECSCP module 160 can be several
(for example, in a distributed system) is realized in a independent hardware cell.This can prevent Single Point of Faliure.In this case,
One hardware cell actively executes ECSCP module 160, and another hardware cell is in standby.These are standby hard
Part unit keeps their internal representation (that is, the twinborn combination of number) synchronous with movable hardware cell.If active unit passes through
Failure (for example, hardware cell collapse, hardware cell become offline etc.) is gone through, then next hardware cell is taken over incessantly.?
In another example, this mode that can be even fully distributed on all components 110 is realized.For example, each Parts Controller (example
Such as, low level controller 11, Docket No 120) it include ECSCP module.A component (for example, component 110a) is selected to carry out trustship
Movable ECSCP module instance.If the component (for example, component 110a) breaks down, next component is (for example, component
110b) adapter tube is activity ECSCP.This method can be used for tactical military micro-capacitance sensor or by conventional natural calamity (for example, ground
Shake, hurricane, cyclone etc.) area.In the latter case, power train can be established based on still operable component
System.It thus provides a kind of elastomeric property amount control system.Assuming that some hardware still can operate after natural calamity, then
This technology enables energy management system itself to reconfigure with Reparameterization and quickly returns to operation and/or do without artificial
In advance.
Fig. 2 shows according to the methods 200 for configuring and parameterizing energy management system of all aspects of this disclosure
Flow chart.This method can (such as processing system 300 of energy management system 100, Fig. 3, it be appropriate by suitable processing system
Combination, and/or other suitable processing systems) Lai Zhihang.
At frame 202, ECSCP module 160 (or suitable processing unit) receives multiple digital twins, wherein multiple
Each of digital twins number twins are associated with component (for example, the component 110) of multiple components.In an example
In, such as simulation test can be used to verify one or more digital twins, it is preassigned to verify whether to specify
Constraint.
At frame 204, ECSCP module 160 (or suitable processing unit) is based at least partially on multiple digital twins
To calculate the configuration and parameterized information of at least one component in multiple components.In one example, configuration and ginseng are being calculated
Before numberization information, multiple digital twins can be combined, and then can be based at least partially on multiple numbers of combination
Twins calculate configuration and parameterized information.For example, ECSCP module 160 is combined with the cost function of component 110.Another
In example, ECSCP module 160 (or suitable processing unit) is based at least partially on multiple digital twins and calculates Two-stage control
The configuration and parameterized information of at least one of device 130 and third level controller 140.
At frame 206, ECSCP module 160 (or suitable processing unit) will configure and parameterized information be sent to it is multiple
The corresponding component of component, so that at least one component in multiple components can be realized configuration and parameterized information, with control
At least one component in multiple components.This enables component 110 to be configured and parameterize for using.In some examples
In, two-level controller 130 and three class control device 140 are only configured, but be unworthy of setting low level controller 112 and Docket No 120.?
In another example, ECSCP module 160 (or suitable processing unit) will configure and parameterized information is sent to two-level controller
At least one of 130 and third level controller 140, to enable in two-level controller 130 and third level controller 140 at least
One is to realize configuration and parameterized information.
It can also include other processes.For example, ECSCP module 160 (or suitable processing unit) will configure and parametrization
Information is sent to two-level controller 130, so that two-level controller 130 can be based at least partially on configuration and parameterized information is come
Realize voltage and frequency control program.
In another example, ECSCP module 160 (or suitable processing unit) will configure and parameterized information is sent to three
Grade controller 140, so that three class control device 140 can be based at least partially on configuration and parameterized information to realize power dispatching
Scheme.For example, Optimum cost power dispatching may be implemented in three class control device 140.
In yet another example, calibration test can be executed to component to generate the digital twins of the component.If special
Other component does not include digital twins, this comes in handy.It should be appreciated that procedural representation shown in Figure 2 explanation, and can be with
It adds other processes or can remove, modify or rearrange existing process without departing from the scope and spirit of the disclosure.
Method 200 can concurrently repeat online with operating described in Figure 1A.Therefore, method 200 can grasped
Energy management system is adjusted and optimized during work.If certain components 110 are inoperable (for example, experience maintenance, deactivated or event
Barrier) or if new component is added in system, this adjustment comes in handy.
It should be appreciated that this technology can be in conjunction with the calculating environment of any other suitable type currently known or develop later
To realize.For example, Fig. 3 shows the block diagram of the processing system 300 for realizing technique described herein.In this example, it handles
System 300 have one or more central processing unit (that is, processor, processing unit) 321a, 321b, 321c etc. (general designation or
Collectively referred to as processor 321 and/or be processing unit).In all aspects of this disclosure, each processor 321 may include simplifying finger
Enable collection computer (RISC) microprocessor.Processor 321 via system bus 333 be coupled to system storage 324 (for example, with
Machine accesses memory (RAM) 324) and various other components.Read-only memory (ROM) 322 is coupled to system bus 333, and
It may include basic input/output (BIOS), control certain basic functions of computer system 300.
Also show input/output (I/O) adapter 327 and the network adapter 326 for being coupled to system bus 333.I/O
Adapter 327 can be small computer system interface (SCSI) adapter, with hard disk 323 and/or tape storage drive
325 or any other like communication.I/O adapter 327, hard disk 323 and magnetic tape strip unit 325 are collectively referred to herein as
Mass storage device 334.Operating system 340 for executing in processing system 300 can store to be filled in massive store
It sets in 334.Network adapter 326 interconnects system bus 333 and external network 336, enable processing system 300 and other
Such system communication.
Display (for example, display monitor) 335 is connected to system bus 333, display adaptation by display adapter 332
Device 112 may include graphics adapter to improve the performance and Video Controller of graphic intensive application.The one of the disclosure
A aspect, adapter 326,327 and 332 may be coupled to one or more I/O buses, these I/O buses are via centre bus
Bridge (not shown) is connected to system bus 333.For connecting the outer of such as hard disk controller, network adapter and graphics adapter
The suitable I/O bus for enclosing device generally includes puppy parc, such as peripheral parts interconnected (PCI).Additional input/output dress
It sets and is illustrated as being connected to system bus 333 via user interface adapter 328 and display adapter 332.Keyboard 329, mouse 330
Bus 333 can be interconnected to via user interface adapter 328 with loudspeaker 331, user interface adapter 108 may include example
The super I/O chip such as multiple device adapters being integrated into single integrated circuit.
In some aspects of the disclosure, processing system 300 includes graphics processing unit 337.Graphics processing unit 337 is special
With electronic circuit, it is designed to manipulate and change memory to accelerate to be formed the frame buffer for being intended for being output to display
In image.In general, graphics processing unit 337 is highly effective in terms of maneuvering calculation machine figure and image procossing, and have
The structure of highly-parallel, so that it is more more effective than the universal cpu of the algorithm for completing chunk data processing parallel.
Therefore, it configures as shown in figure 1, processing system 300 includes the processing capacity of 321 form of processor, including system is deposited
The storage capacity of reservoir (for example, RAM 324) and mass storage device 334, the input dress of such as keyboard 329 and mouse 330
It sets, and the fan-out capability including loudspeaker 331 and display 335.In some aspects of the disclosure, one of system storage
Divide (for example, RAM324) and the common storage program area of mass storage device 334, such as IBM CorporationOperation system
System, with the function of various parts shown in Coordination Treatment system 300.
Given the description to the various embodiments of the disclosure for purposes of illustration, it is not intended that exhaustion or
It is limited to the disclosed embodiments.In the case where not departing from the scope and spirit of described technology, many modifications and variations
It will be apparent to practitioners skilled in this.Selecting terms used herein is to best explain this skill
Principle, practical application or the technological improvement to the technology found in market of art, or enable those of ordinary skill in the art
Understand presently disclosed technology.
Claims (20)
1. a kind of for configuring and parameterizing the computer implemented method of energy management system, which comprises
Multiple digital twins are received by processing unit, wherein the digital twins of each of the multiple number twins with
Component in multiple components is associated;
The multiple digital twins are based at least partially on, is calculated and is used in the multiple component extremely by the processing unit
The configuration and parameterized information of a few component;And
The configuration and parameterized information is sent to by the processing unit all parts of the multiple component, so that described
At least one component in multiple components can be realized the configuration and parameterized information, to control in the multiple component extremely
A few component.
2. computer implemented method according to claim 1, further includes:
Two-level controller is sent by the configuration and parameterized information by the processing unit, so that the two-level controller energy
It is based at least partially on the configuration and parameterized information enough to realize voltage and frequency control program.
3. computer implemented method according to claim 1, further includes:
Three class control device is sent by the configuration and parameterized information by the processing unit, so that the three class control device energy
It is based at least partially on the configuration and parameterized information enough to realize power dispatching scheme.
4. computer implemented method according to claim 3, wherein the power dispatching scheme is Optimum cost power
Scheduling scheme.
5. computer implemented method according to claim 1, further includes:
Calibration test is executed at least one component in the multiple component by the processing unit, to generate for the component
Digital twins.
6. computer implemented method according to claim 1, further includes:
After receiving the multiple digital twins, verified in the multiple digital twins at least by the processing unit
One digital twins.
7. computer implemented method according to claim 1, further includes:
Before calculating the configuration and parameterized information, the multiple digital twins are combined by the processing unit, wherein
It calculates the configuration and parameterized information is at least partially based on multiple digital twins of combination.
8. computer implemented method according to claim 1, wherein each digital twins include about with it is every
The data of the associated component of a number twins.
9. computer implemented method according to claim 8, wherein the data include one of following item or more
Person: the structure of the component and the block diagram of adjustable parameter are indicated;The cost function of power generation;Component-dedicated constraint;The typical case of load
Load curve;And the health status of the component.
10. a kind of system for configuring and parameterizing energy management system, the system comprises:
Multiple components;
Memory including computer-readable instruction;And
Processing unit, for executing the computer-readable instruction, the computer-readable instruction is for executing a kind of method, institute
The method of stating includes:
Multiple digital twins are received by the processing unit, wherein the double born of the same parents of each of the multiple number twins number
Tire is associated with the component in multiple components;
The multiple digital twins are based at least partially on, are calculated by the processing unit for every in the multiple component
The configuration and parameterized information of a component;And
The configuration and parameterized information is sent to by the processing unit all parts of the multiple component, so that described
At least one component in multiple components can be realized the configuration and parameterized information, to control in the multiple component extremely
A few component.
11. system according to claim 10, wherein the method also includes:
Two-level controller is sent by the configuration and parameterized information by the processing unit, so that the two-level controller energy
It is based at least partially on the configuration and parameterized information enough to realize voltage and frequency control program.
12. system according to claim 10, wherein the method also includes:
Three class control device is sent by the configuration and parameterized information by the processing unit, so that the three class control device energy
It is based at least partially on the configuration and parameterized information enough to realize power dispatching scheme.
13. system according to claim 12, wherein the power dispatching scheme is Optimum cost power dispatching scheme.
14. system according to claim 10, wherein the method also includes:
Calibration test is executed at least one component in the multiple component by the processing unit, to generate for the component
Digital twins.
15. system according to claim 10, wherein the method also includes:
After receiving the multiple digital twins, verified in the multiple digital twins at least by the processing unit
One digital twins.
16. system according to claim 10, wherein the method also includes:
Before calculating the configuration and parameterized information, the multiple digital twins are combined by the processing unit, wherein
It calculates the configuration and parameterized information is at least partially based on multiple digital twins of combination.
17. system according to claim 10, wherein each digital twins include about with the double born of the same parents of each number
The data of the associated component of tire, and wherein, the data include one or more of following item: indicating the component
The block diagram of structure and adjustable parameter;The cost function of power generation;Component-dedicated constraint;The typical load curve of load;And it is described
The health status of component.
18. a kind of method for configuring and parameterizing energy management system, which comprises
Multiple digital twins are received by processing unit, wherein the digital twins of each of the multiple number twins with
Component in multiple components is associated;
The multiple digital twins are based at least partially on by the processing unit to calculate for two-level controller and three-level control
The configuration and parameterized information of at least one of device processed;And
The two-level controller and the three class control device are sent by the configuration and parameterized information by the processing unit
At least one of so that at least one of the two-level controller and the three class control device can be realized it is described configuration and
Parameterized information.
19. according to the method for claim 18, wherein send further include: send the configuration and parameterized information to
The two-level controller, so that the two-level controller can be based at least partially on the configuration and parameterized information to realize
Voltage and frequency control program.
20. according to the method for claim 18, wherein send further include: send the configuration and parameterized information to
The three class control device, so that the three class control device can be based at least partially on the configuration and parameterized information is come in fact
Existing power dispatching scheme, wherein the power dispatching scheme is Optimum cost power scheduling scheme.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201662434475P | 2016-12-15 | 2016-12-15 | |
US62/434,475 | 2016-12-15 | ||
PCT/US2017/052672 WO2018111368A1 (en) | 2016-12-15 | 2017-09-21 | Configuration and parameterization of energy control system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110249348A true CN110249348A (en) | 2019-09-17 |
Family
ID=60037700
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201780077551.XA Pending CN110249348A (en) | 2016-12-15 | 2017-09-21 | The configuration and parametrization of energy management system |
Country Status (4)
Country | Link |
---|---|
US (1) | US20210118067A1 (en) |
EP (1) | EP3539063A1 (en) |
CN (1) | CN110249348A (en) |
WO (1) | WO2018111368A1 (en) |
Families Citing this family (29)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021108680A1 (en) * | 2019-11-25 | 2021-06-03 | Strong Force Iot Portfolio 2016, Llc | Intelligent vibration digital twin systems and methods for industrial environments |
US11280509B2 (en) * | 2017-07-17 | 2022-03-22 | Johnson Controls Technology Company | Systems and methods for agent based building simulation for optimal control |
US10515098B2 (en) | 2017-02-10 | 2019-12-24 | Johnson Controls Technology Company | Building management smart entity creation and maintenance using time series data |
US11994833B2 (en) | 2017-02-10 | 2024-05-28 | Johnson Controls Technology Company | Building smart entity system with agent based data ingestion and entity creation using time series data |
US11360447B2 (en) * | 2017-02-10 | 2022-06-14 | Johnson Controls Technology Company | Building smart entity system with agent based communication and control |
US11042144B2 (en) | 2017-03-24 | 2021-06-22 | Johnson Controls Technology Company | Building management system with dynamic channel communication |
US10962945B2 (en) | 2017-09-27 | 2021-03-30 | Johnson Controls Technology Company | Building management system with integration of data into smart entities |
US11120012B2 (en) | 2017-09-27 | 2021-09-14 | Johnson Controls Tyco IP Holdings LLP | Web services platform with integration and interface of smart entities with enterprise applications |
US11544782B2 (en) | 2018-05-06 | 2023-01-03 | Strong Force TX Portfolio 2018, LLC | System and method of a smart contract and distributed ledger platform with blockchain custody service |
US11669914B2 (en) | 2018-05-06 | 2023-06-06 | Strong Force TX Portfolio 2018, LLC | Adaptive intelligence and shared infrastructure lending transaction enablement platform responsive to crowd sourced information |
US11550299B2 (en) | 2020-02-03 | 2023-01-10 | Strong Force TX Portfolio 2018, LLC | Automated robotic process selection and configuration |
CA3098670A1 (en) | 2018-05-06 | 2019-11-14 | Strong Force TX Portfolio 2018, LLC | Methods and systems for improving machines and systems that automate execution of distributed ledger and other transactions in spot and forward markets for energy, compute, storage and other resources |
CN108919760B (en) * | 2018-07-05 | 2020-01-24 | 长安大学 | Intelligent workshop autonomous production process dynamic linkage control method based on digital twins |
EP3827316A1 (en) | 2018-08-23 | 2021-06-02 | Siemens Aktiengesellschaft | Automatic setup of digital twins for industrial controllers |
EP3671374A1 (en) | 2018-12-21 | 2020-06-24 | ABB Schweiz AG | Method and system for determining system settings for an industrial system |
EP3686695A1 (en) * | 2019-01-24 | 2020-07-29 | ABB Schweiz AG | Modularized model predictive control for industrial plants |
CN110059359A (en) * | 2019-03-21 | 2019-07-26 | 江苏东方国信工业互联网有限公司 | System and method for controlling furnace body process based on big data analysis |
US11982993B2 (en) | 2020-02-03 | 2024-05-14 | Strong Force TX Portfolio 2018, LLC | AI solution selection for an automated robotic process |
US20210376612A1 (en) * | 2020-05-26 | 2021-12-02 | University Of Florida Research Foundation, Incorporated | Smart energy management systems and methods for power system resiliency |
DE102020208502A1 (en) * | 2020-07-07 | 2022-01-13 | Robert Bosch Gesellschaft mit beschränkter Haftung | Method for operating a fuel cell system |
EP4002033A1 (en) | 2020-11-20 | 2022-05-25 | Siemens Industry Software NV | Generating a digital twin, method, system, computer program product |
CN113779769A (en) * | 2021-08-18 | 2021-12-10 | 国网浙江省电力有限公司舟山供电公司 | Cable test digital twinning system and working method thereof |
DE102021211110A1 (en) * | 2021-10-01 | 2023-04-06 | Robert Bosch Gesellschaft mit beschränkter Haftung | Method for providing data for operating a building |
WO2023097016A2 (en) * | 2021-11-23 | 2023-06-01 | Strong Force Ee Portfolio 2022, Llc | Ai-based energy edge platform, systems, and methods |
CN114492116A (en) * | 2022-01-04 | 2022-05-13 | 南京南瑞继保电气有限公司 | Transformer state analysis method, system, equipment and storage medium |
US20230350363A1 (en) * | 2022-04-27 | 2023-11-02 | Tmrw Foundation Ip S. À R.L. | System and method of energy supply chain management and optimization through an energy virtual twin |
CN115114342B (en) * | 2022-08-26 | 2022-11-15 | 乘木科技(珠海)有限公司 | Digital twin multi-source data anomaly monitoring method and system |
CN115373278B (en) * | 2022-10-25 | 2023-01-06 | 北京安帝科技有限公司 | Industrial control service abnormity prediction response system and method based on digital twin drive |
CN116722571B (en) * | 2023-08-04 | 2024-02-02 | 深圳康普盾科技股份有限公司 | Energy storage management method, system and medium based on digital twin |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140025220A1 (en) * | 2012-07-19 | 2014-01-23 | Solarcity Corporation | Techniques for controlling energy generation and storage systems |
CN104205087A (en) * | 2012-02-04 | 2014-12-10 | 英派尔科技开发有限公司 | Core-level dynamic voltage and frequency scaling in a chip multiprocessor |
US20160333854A1 (en) * | 2015-05-15 | 2016-11-17 | General Electric Company | Digital Twin Interface for Operating Wind Farms |
CN107209545A (en) * | 2015-02-13 | 2017-09-26 | 英特尔公司 | Power management is performed in polycaryon processor |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8401709B2 (en) * | 2009-11-03 | 2013-03-19 | Spirae, Inc. | Dynamic distributed power grid control system |
US8731729B2 (en) * | 2012-04-23 | 2014-05-20 | Honeywell International, Inc | Method for microgrid controls development |
US20170091791A1 (en) * | 2015-09-25 | 2017-03-30 | General Electric Company | Digital power plant system and method |
-
2017
- 2017-09-21 CN CN201780077551.XA patent/CN110249348A/en active Pending
- 2017-09-21 EP EP17780935.7A patent/EP3539063A1/en not_active Withdrawn
- 2017-09-21 WO PCT/US2017/052672 patent/WO2018111368A1/en unknown
- 2017-09-21 US US16/464,370 patent/US20210118067A1/en not_active Abandoned
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104205087A (en) * | 2012-02-04 | 2014-12-10 | 英派尔科技开发有限公司 | Core-level dynamic voltage and frequency scaling in a chip multiprocessor |
US20140025220A1 (en) * | 2012-07-19 | 2014-01-23 | Solarcity Corporation | Techniques for controlling energy generation and storage systems |
CN107209545A (en) * | 2015-02-13 | 2017-09-26 | 英特尔公司 | Power management is performed in polycaryon processor |
US20160333854A1 (en) * | 2015-05-15 | 2016-11-17 | General Electric Company | Digital Twin Interface for Operating Wind Farms |
Also Published As
Publication number | Publication date |
---|---|
WO2018111368A1 (en) | 2018-06-21 |
EP3539063A1 (en) | 2019-09-18 |
US20210118067A1 (en) | 2021-04-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110249348A (en) | The configuration and parametrization of energy management system | |
Li et al. | Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm | |
Li et al. | Distributed $ Q $-Learning-Based Online Optimization Algorithm for Unit Commitment and Dispatch in Smart Grid | |
Zhang et al. | Convergence analysis of the incremental cost consensus algorithm under different communication network topologies in a smart grid | |
Blanco-Novoa et al. | An electricity price-aware open-source smart socket for the internet of energy | |
Ye et al. | A hybrid multiagent framework with Q-learning for power grid systems restoration | |
Bucher et al. | On quantification of flexibility in power systems | |
Boroojeni et al. | An economic dispatch algorithm for congestion management of smart power networks: An oblivious routing approach | |
Bedoya et al. | Distribution system resilience under asynchronous information using deep reinforcement learning | |
CN109756443A (en) | Smart home device interlock method, equipment and system | |
CN103905227B (en) | A kind of server energy consumption control method and system | |
CN107077109B (en) | System and method for identifying and complying with normalized operating constraints in a utility grid | |
Derksen et al. | Structure and classification of unified energy agents as a base for the systematic development of future energy grids | |
Daiva et al. | Energy distribution planning models taxonomy and methods of distributed generation systems | |
Sennewald et al. | A preventive security constrained optimal power flow for mixed AC-HVDC-systems | |
CN116526667A (en) | Secondary fusion distribution network feeder terminal system based on current Internet of things feedback mechanism | |
Yan et al. | Dynamic repair scheduling for transmission systems based on look-ahead strategy approximation | |
Sultan et al. | Smart Home Energy Management System | |
Melo et al. | Centralized monitoring of a cost efficient PLC‐SCADA based islanded microgrid considering dispatch techniques | |
JP6830784B2 (en) | Information information system | |
Reiman et al. | App deconfliction: Orchestrating distributed, multi-agent, multi-objective operations for power systems | |
Guan et al. | An enhanced hierarchical control strategy for the Internet of Things-based home scale microgrid | |
JP5949827B2 (en) | Energy management system | |
US11850965B2 (en) | Methods and systems for an electric vehicle charging connector | |
Kalsi et al. | Integrated transmission and distribution control |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190917 |